FN Archimer Export Format
PT J
TI Overview of the First SMOS Sea Surface Salinity Products. Part I: Quality Assessment for the Second Half of 2010
BT 
AF REUL, Nicolas
   TENERELLI, Joseph
   BOUTIN, Jaqueline
   CHAPRON, Bertrand
   PAUL, Frederic
   BRION, Emilie
   GAILLARD, Fabienne
   ARCHER, Olivier
AS 1:1;2:2;3:3;4:1;5:1;6:4;7:1,5;8:1;
FF 1:PDG-ODE-LOS;2:;3:;4:PDG-ODE-LOS;5:PDG-ODE-LOS;6:;7:PDG-ODE-LPO;8:PDG-ODE-LOS;
C1 IFREMER, Lab Oceanog Spatiale, F-29280 Plouzane, France.
   Collect Localisat Satellite, Div Radar, Plouzane, France.
   Univ Paris 06, Ctr Natl Rech Sci, Inst Rech Dev,LOCEAN,Unite Mixte Rech, Museum Natl Hist Nat,Inst Pierre Simon Laplace, F-75252 Paris, France.
   Atlantide Altran Ouest, F-29238 Brest 3, France.
   IFREMER, Lab Phys Oceans, F-29280 Plouzane, France.
C2 IFREMER, FRANCE
   CLS, FRANCE
   IPSL, FRANCE
   ATLANTIDE ALTRAN OUEST, FRANCE
   IFREMER, FRANCE
SI BREST
SE PDG-ODE-LOS
   PDG-IMN-IDM-SISMER
   PDG-ODE-LPO
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 3.47
TC 62
UR https://archimer.ifremer.fr/doc/00072/18313/16109.pdf
LA English
DT Article
DE ;L-band;microwave radiometry;ocean salinity;sea surface
AB Multi-angular images of the brightness temperature (TB) of the Earth at 1.4 GHz are reconstructed from the Soil Moisture and Ocean Salinity (SMOS) satellite sensor data since end 2009. Sea surface salinity (SSS) products remote sensing from space is being attempted using these data over the world oceans. The quality of the first version of the European Space Agency operational Level 2 (L2) SSS swath products is assessed in this paper, using satellite/in situ SSS data match-ups that were collected over the second half of 2010. This database reveals that 95% of the SMOS L2 products show a global error standard deviation on the order of ∼1.3 practical salinity scale. Simple spatiotemporal aggregation of the L2 products to generate monthly SSS maps at 1◦ × 1◦ spatial resolution reduces the error down to about 0.6 globally and 0.4 in the tropics for 90% of the data. Several major problems are, however, detected in the products. Systematically, SMOS SSS data are biased within a ∼1500 km wide belt along the world coasts and sea ice edges, with a contamination intensity and spread varying from ascending to descending passes. Numerous world ocean areas are permanently or intermittently contaminated by radio-frequency interferences, particularly in the northern high latitudes and following Asia coastlines. Moreover, temporal drifts in the retrieved SSS fields are found with varying signatures in ascending and descending passes. In descending passes, a time-dependent strong latitudinal bias is found, with maximum amplitude reached at the end of the year. Errors in the forward modeling of the wind-induced emissivity and of the sea surface scattered galactic sources are as well identified, biasing the sss retrievals at high and low winds and when the galactic equator sources are reflected toward the sensor.
PY 2012
PD MAY
SO Ieee Transactions On Geoscience And Remote Sensing
SN 0196-2892
PU Ieee-inst Electrical Electronics Engineers Inc
VL 50
IS 5
UT 000303205200024
BP 1636
EP 1647
DI 10.1109/TGRS.2012.2188408
ID 18313
ER

EF